Thus, we have a preference for representation based models. Based on the results in Table REF  interaction-based models, namely DRMMTKS and CONV-KNRM are the two best performing models for the public dataset with NDCG@25 of \(0.477\)  and \(0.476\)  respectively. However, the representation-based model MV-LSTM is in the third rank with the score of \(0.474\) , which is a marginal decrease compared to the two interactive models. Furthermore, for our proprietary dataset the best performance is from representation-based models, ARC-I and MV-LSTM, which is fortunate for practitioners. In summary, we would recommend representation-based models for production deployments in general, due to the discussed operational advantage of being able to incorporate new query and production representations easily [1]}.
